History Matching of Electromagnetically Heated Reservoirs Incorporating Full-Wavefield Seismic and Electromagnetic Imaging
- Authors
- Klemens Katterbauer (King Abdullah University of Science and Technology) | Ibrahim Hoteit (King Abdullah University of Science and Technology) | Shuyu Sun (King Abdullah University of Science and Technology)
- DOI
- https://doi.org/10.2118/173896-PA
- Document ID
- SPE-173896-PA
- Publisher
- Society of Petroleum Engineers
- Source
- SPE Journal
- Volume
- 20
- Issue
- 05
- Publication Date
- October 2015
- Document Type
- Journal Paper
- Pages
- 923 - 941
- Language
- English
- ISSN
- 1086-055X
- Copyright
- 2015.Society of Petroleum Engineers
- Disciplines
- Keywords
- history matching, Maxwell's equation, seismic wave propagation, electromagnetic heating, EnKF
- Downloads
- 7 in the last 30 days
- 331 since 2007
- Show more detail
- View rights & permissions
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Summary
Electromagnetic (EM) heating is becoming a popular method for heavy-oil recovery because of its cost-efficiency and continuous technological improvements. It exploits the relationship that the viscosity of hydrocarbons decreases for increasing temperature; the heavy-oil components become more fluid-like, and hence easier to extract from the reservoir. Although several field studies have considered the effects of heating on the viscosity of the hydrocarbons, there has been very little research on the long-term effects of field production and the forecasting of the development of the reservoir. Increased flow rates within the reservoir render the moving fluids less viscous, implying fast-changing fluid-propagation patterns and increased uncertainty about the state of the oil displacement. This means, in the long term, strongly varying production projections, strong dependence on the permeability of the reservoir, and potentially undesirable fluid migration. To improve the forecasting of production in heavy-oil fields and to accurately capture the dynamics of the fluid movements, we present a history-matching framework incorporating well data and seismic and EM crosswell-imaging techniques. The incorporation of seismic and EM data into the history-matching process counteracts the changing reservoir dynamics caused by increased fluid velocity caused by heating and is shown to significantly improve reservoir matching and forecasts for a variety of different heating scenarios.
| File Size | 3 MB | Number of Pages | 19 |
References
Aanonsen, S.I., Naevdal, G., Oliver, D.S. et al. 2009. The Ensemble Kalman Filter in Reservoir Engineering—A Review. SPE J. 14 (3): 393–412. SPE-117274-PA. http://dx.doi.org/10.2118/117274-PA.
Abubakar, A., Habashy, T., Druskin, V. et al. 2008. 2.5D Forward and Inverse Modeling for Interpreting Low-Frequency Electromagnetic Measurements. Geophysics 73 (4): F165–F177. http://dx.doi.org/10.1190/1.2937466.
Andrade, E.N. da C. 1930. The Viscosity of Liquids. Nature 125: 309–310.
Archie, G.E. 1942. The Electrical Resistivity Log as an Aid in Determining Some Reservoir Characteristics. Trans. AIME 146 (1): 54–62. SPE-942054-G. http://dx.doi.org/10.2118/942054-G.
Babadagli, T. 2003. Evaluation of EOR Methods for Heavy-Oil Recovery in Naturally Fractured Reservoirs. J. Pet. Sci. Eng. 37 (1): 25–37. http://dx.doi.org/10.1016/S0920-4105(02)00309-1.
Bakan, S., Chlond, A., Cubasch, U. et al. 1991. Climate Response to Smoke From the Burning Oil Wells in Kuwait. Nature 351 (6325): 367–371.
Beggs, H.D. and Robinson, J.R. 1975. Estimating the Viscosity of Crude Oil Systems. J Pet Technol 27 (9): 1140–1141. SPE-5434-PA. http://dx.doi.org/10.2118/5434-PA.
Bridges, J.E., Krstansky, J.J., Taflove, A. et al. 1983. The IITRI In-Situ RF Fuel Recovery Process. J. Microw. Power 18 (1): 3–14.
Burgers, G., van Leeuwen, P., and Evensen, G. 1998. Analysis Scheme in the Ensemble Kalman Filter. Mon. Weather Rev. 126 (6): 1719– 1724. http://dx.doi.org/10.1175/1520-0493(1998)126<1719:ASITEK>2.0.CO;2.
Carrizales, M. and Lake, L.W. 2009. Two-Dimensional COMSOL Simulation of Heavy-Oil Recovery by Electromagnetic Heating, in COMSOL Conference in Boston, Massachusetts, USA, pp. 10–13.
Cengel, Y.A., Boles, M.A., and Kanouglu, M. 2011. Thermodynamics: An Engineering Approach, Vol. 5. New York: McGraw-Hill.
Chen, Z. 2007. Reservoir Simulation: Mathematical Techniques in Oil Recovery. Society for Industrial and Applied Mathematics (SIAM).
Chute, F.S. and Vermeulen, F.E. 1990. Physical Modeling of Systems Involving Electromagnetic Heating of Materials. Educ. IEEE Trans. 33 (2): 190–197. http://dx.doi.org/10.1109/13.54860.
Chute, F.S., Vermeulen, F.E., Cervenan, M.R. et al. 1979. Electrical properties of Athabasca Oil Sands. Can. J. Earth Sci. 16 (10): 2009–2021. http://dx.doi.org/10.1139/e79-187.
Constable, S. and Srnka, L. 2007. An Introduction to Marine Controlled-Source Electromagnetic Methods for Hydrocarbon Exploration. Geophysics 72 (2): WA3–WA12. http://dx.doi.org/10.1190/1.2432483.
Daley, T.M., Niu, F., Silver, P.G. et al. 2010. Acquisition of Crosswell Seismic Monitoring Data. In Handbook of Geophysical Exploration: Seismic Exploration, eds. J. Kasahara, V. Korneev, M. Zhdanov, Vol. 40, Chap. 9, 165–176. http://dx.doi.org/10.1016/S0950-1401(10)04014-0.
Daubert, T. and Danner, R. 1997. API Technical Data Book—Petroleum Refining, sixth edition. American Petroleum Institute.
DePavia, L., Zhang, P., Alumbaugh, D. et al. 2008. Next-Generation Crosswell EM Imaging Tool. Presented at the SPE Annual Technical Conference and Exhibition, Denver, 21–24 September. SPE-116344-MS. http://dx.doi.org/10.2118/116344-MS.
Elsheikh, A.H., Wheeler, M.F., and Hoteit, I. 2013. Sparse Calibration of Subsurface Flow Models Using Nonlinear Orthogonal Matching Pursuit and an Iterative Stochastic Ensemble Method. Advances in Water Resources 56: 14–26. http://dx.doi.org/10.1016/j.advwatres.2013.02.002.
Evensen, G. 1994. Sequential Data Assimilation With a Nonlinear Quasi-Geostrophic Model Using Monte Carlo Methods To Forecast Error Statistics. J. Geophys. Res. Oceans 99 (C5): 10143–10162. http://dx.doi.org/10.1029/94JC00572.
Faghri, A., Zhang, Y., and Howell, J.R. 2010. Advanced Heat and Mass Transfer. Global Digital Press.
Gates, I.D. and Leskiw, C. 2010. Impact of Steam Trap Control on Performance of Steam-Assisted Gravity Drainage. J. Pet. Sci. Eng. 75 (1): 215–222. http://dx.doi.org/10.1016/j.petrol.2010.11.014.
Gautier, D., Bird, K., Charpentier, R. et al. 2009. Assessment of Undiscovered Oil and Gas in the Arctic. Science 324 (5931): 1175–1179. http://dx.doi.org/10.1126/science.1169467.
Godinez, H. and Moulton, J. 2012. An Efficient Matrix-Free Algorithm for the Ensemble Kalman Filter. Comput. Geosci. 16 (3): 565– 575. http://dx.doi.org/10.1007/s10596-011-9268-9.
Hiebert, A.D., Kumar, A., Card, C. et al. 2013. Incorporating 4D Seismic Steam Chamber Location Information into Assisted History Matching for a SAGD Simulation. Presented at the SPE Heavy Oil Conference-Canada, Calgary, 11–13 June. SPE-165420-MS. http://dx.doi.org/10.2118/165420-MS.
Hill, H.J. and Milburn, J.D. 1956. Effect of Clay and Water Salinity on Electromechanical Behavior of Reservoir Rocks. Petroleum Transactions 207: 65–72.
Hoteit, I., Luo, X., and Pham, D. 2012. Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman Filters. Mon. Wea. Rev. 140 (2): 528–542. http://dx.doi.org/10.1175/2011MWR3640.1.
Huang, X., Meister, L., and Workman, R. 1998. Improving Production History Matching Using Time-Lapse Seismic Data. Lead. Edge 17 (10): 1430–1433.
Ivory, J., Chang, J., Coates, R. et al. 2010. Investigation of Cyclic Solvent Injection Process for Heavy Oil Recovery. J Can Pet Technol 49 (9): 22–33. SPE-140662-PA. http://dx.doi.org/10.2118/140662-PA.
Jha, K.N. and Chakma, A. 1999. Heavy-Oil Recovery From Thin Pay Zones by Electromagnetic Heating. Energy Sources 21 (1–2): 63–73. http://dx.doi.org/10.1080/00908319950014966.
Jha, A., Joshi, N., and Singh, A. 2011. Applicability and Assessment of Micro-Wave Assisted Gravity Drainage (MWAGD) Applications in Mehsana Heavy Oil Field, India. Presented at the SPE Heavy Oil Conference and Exhibition, Kuwait City, Kuwait, 12–14 December. SPE-149591-MS. http://dx.doi.org/10.2118/149591-MS.
Johnson, R., Chu, C., Mims, D. et al. 1992. History Matching of High- and Low-Quality Steamfloods in Kern River Field, California. SPE Res Eng 7 (1): 75–82. SPE-18768-PA. http://dx.doi.org/10.2118/18768-PA.
Kasevich, R.S., Price, S.L., Faust, D.L. et al. 1994. Pilot Testing of a Radio Frequency Heating System for Enhanced Oil Recovery From Diatomaceous Earth. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 25–28 September. SPE-28619-MS. http://dx.doi.org/10.2118/28619-MS.
Katterbauer, K., Hoteit, I., and Sun, S. 2014. EMSE: Synergizing EM and seismic data attributes for enhanced forecasts of reservoirs. J. Pet. Sci. Eng. 122 (October): 396–410. http://dx.doi.org/10.1016/j.petrol.2014.07.039.
Katterbauer, K., Hoteit, I., and Sun, S. In review. Enhanced Reservoir Forecasting Via Full Wavefield Electromagnetic and Seismic Surveys. SPE J. (submitted 16 July 2014).
Koolman, M., Huber, N., Diehl, D. et al. 2008. Electromagnetic Heating Method to Improve Steam Assisted Gravity Drainage. Presented at the International Thermal Operations and Heavy Oil Symposium, Calgary, 20–23 October. SPE-117481-MS. http://dx.doi.org/10.2118/117481-MS.
Kovaleva, L., Davletbaev, A., Babadagli, T. et al. 2011. Effects of Electrical and Radio-Frequency Electromagnetic Heating on the Mass-Transfer Process During Miscible Injection for Heavy-Oil Recovery. Energy & Fuels 25 (2): 482–486. http://dx.doi.org/10.1021/ef1009428.
Lake, L.W. ed. 2007. Petroleum Engineering Handbook. Richardson, Texas: Society of Petroleum Engineers.
Leeuwenburgh, O., Brouwer, J., and Trani, M. 2011. Ensemble-Based Conditioning of Reservoir Models to Seismic Data. Comput. Geosci. 15 (2): 359–378. http://dx.doi.org/10.1007/s10596-010-9209-z.
Levander, A. 1988. Fourth-Order Finite-Difference P-SV Seismograms. Geophysics 53 (11): 1425–1436. http://dx.doi.org/10.1190/1.1442422.
Liang, L., Abubakar, A., Habashy, T. et al. 2012. Joint Inversion of Time-Lapse Crosswell Electromagnetic, Seismic, and Production Data for Reservoir Monitoring and Characterization, in SEG Technical Program Expanded Abstracts 2012, Society of Exploration Geophysicists, pp. 1–7.
Liang, B., Alpak, F., Sepehrnoori, K. et al. 2007. A Singular Evolutive Interpolated Kalman Filter for Rapid Uncertainty Quantification. Presented at the SPE Reservoir Simulation Symposium, Houston, 26–28 February. SPE-106170-MS. http://dx.doi.org/10.2118/106170-MS.
Lie, K., Krogstad, S., Ligaarden, I. et al. 2012. Open-source MATLAB Implementation of Consistent Discretisations on Complex Grids. Comput. Geosci. 16 (2): 297–322. http://dx.doi.org/10.1007/s10596-011-9244-4.
Marsala, A., Al-Ruwaili, S., Shouxiang, M. et al. 2008. Crosswell Electromagnetic Tomography: From Resistivity Mapping to Interwell Fluid Distribution. Presented at the International Petroleum Technology Conference, Kuala Lumpur, Malaysia, 3–5 December. IPTC-12229-MS. http://dx.doi.org/10.2523/12229-MS.
Martin, J., Wilcox, L., Burstedde, C. et al. 2012. A Stochastic Newton MCMC Method for Large-Scale Statistical Inverse Problems With Application to Seismic Inversion. SIAM J. Sci. Comput. 34 (3): A1460–A1487. http://dx.doi.org/10.1137/110845598.
Mavko, G., Mukerji, T., and Dvorkin, J. 2009. The Rock Physics Handbook: Tools for Seismic Analysis of Porous Media. Cambridge University Press.
Meddaugh, W.S., Frydl, P., Dvoretsky, R. et al. 2013. The Wafra Second Eocene Heavy Oil Carbonate Reservoir, Partitioned Zone (PZ), Saudi Arabia and Kuwait: Reservoir Characterization, Modeling, and IOR/EOR Evaluation. Presented at the SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain, 10–13 March. SPE-164247-MS. http://dx.doi.org/10.2118/164247-MS.
Menke, W. 2012. Geophysical Data Analysis: Discrete Inverse Theory. Academic Press.
Mutyala, S., Fairbridge, C., Pare, J. et al. 2010. Microwave Applications to Oil Sands and Petroleum: A Review. Fuel Process. Technol. 91 (2): 127–135. http://dx.doi.org/10.1016/j.fuproc.2009.09.009.
Nalonnil, A., Zhang, P., and Marion, B. 2013. New Advances in Interwell Seismic and Electromagnetic Imaging. Presented at the Internation Petroleum Technology Conference, Beijing, China, 26–28 March. IPTC-16899-MS. http://dx.doi.org/10.2523/16899-MS.
Nasr, T. and Ayodele, O. 2005. Thermal Techniques for the Recovery of Heavy Oil and Bitumen. Presented at the SPE International Improved Oil Recovery Conference in Asia Pacific, Kuala Lumpur, Malaysia, 5–6 December. SPE-97488-MS. http://dx.doi.org/10.2118/97488-MS.
Newman, G., Commer, M., and Carazzone, J. 2010. Imaging CSEM Data in the Presence of Electrical Anisotropy. Geophysics 75 (2): F51–F61. http://dx.doi.org/10.1190/1.3295883.
Nield, D.A. and Bejan, A. 2006. Convection in Porous Media. Springer.
Oliver, D. 1996. Multiple Realizations of the Permeability Field From Well Test Data. SPE J. 1 (2). SPE-27970-PA. http://dx.doi.org/10.2118/27970-PA.
Oliver, D. and Chen, Y. 2011. Recent Progress on Reservoir History Matching: A Review. Comput. Geosci. 15 (1): 185–221. http://dx.doi.org/10.1007/s10596-010-9194-2.
Ovalles, C., Fonseca, A., Lara, A. et al. 2002. Opportunities of Downhole Dielectric Heating in Venezuela: Three Case Studies Involving Medium, Heavy and Extra-Heavy Crude Oil Reservoirs. Presented at the SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, 4–7 November. SPE-78980-MS. http://dx.doi.org/10.2118/78980-MS.
Park, K. 2011. Modeling Uncertainty in Metric Space, PhD Thesis, Stanford University, Standford, California (January 2011).
Peterson, A., Ray, S., and Mittra, R. 1998. Computational Methods for Electromagnetics. Wiley.
Powers, R., Ramirez, L., Redmond, C. et al. 1966. Geology of the Arabian Peninsula. Geol. Surv. Prof. Pap. 560: 1–147.
Rassenfoss, S. 2012. Seeking More Oil, Fewer Emissions. J Pet Technol 64: 34–38.
Ravanelli, F. and Hoteit, I. 2014. Using Crosswell Data To Enhance History Matching. Presented at the SPE Bergen One Day Seminar, Bergen, Norway, 2 April. SPE-169230-MS. http://dx.doi.org/10.2118/169230-MS.
Rector, J. 1995. Crosswell Methods: Where Are We, Where Are We Going? Geophysics 60 (3): 629–630. http://dx.doi.org/10.1190/1.1443802.
Report and Dresser, A.I. 1982. Well Logging and Interpretation Techniques, second edition.
Roland, U., Holzer, F., Kraus, M. et al. 2011. Electrode Design for Soil Decontamination With Radio-Frequency Heating. Chem. Eng. Technol. 34 (10): 1652–1659. http://dx.doi.org/10.1002/ceat.201100227.
Roland, U., Holzer, F., Trommler, U. et al. 2012. Applications of Radio-Frequency Heating in Environmental Technology. Procedia Eng. 42: 161–164. http://dx.doi.org/10.1016/j.proeng.2012.07.406.
Russell, B.H., Hedlin, K., Hilterman, F.J. et al. 2003. Fluid-Property Discrimination With AVO: A Biot-Gassmann Perspective. Geophysics 68 (1): 29–39. http://dx.doi.org/10.1190/1.1543192.
Sahni, A., Kumar, M., and Knapp, R. 2000. Electromagnetic Heating Methods for Heavy Oil Reservoirs. Presented at the SPE/AAPG Western Regional Meeting, Long Beach, California, 19–22 June. SPE-62550-MS. http://dx.doi.org/10.2118/62550-MS.
Schlumberger Imaging Services Report. 2010. Crosswell seismic imaging service.
Schlumberger. 2010. ECLIPSE Reservoir Simulator. http://www.software.slb.com/products/foundation/Pages/eclipse.aspx.
Sheng, J. 2013. Enhanced Oil Recovery Field Case Studies. Elsevier Science.
Strack, K. 2013. Future Directions of Electromagnetic Methods for Hydrocarbon Applications. Surv. Geophys.: 1–21. http://dx.doi.org/10.1007/s10712-013-9237-z.
Thomas, S. 2008. Enhanced Oil Recovery—An Overview. Oil Gas Sci. Technol. IFP 63 (1): 9–19. http://dx.doi.org/10.2516/ogst:2007050.
Wacker, B., Karmeileopardus, D., Trautmann, B. et al. 2011. Electromagnetic Heating for In-Situ Production of Heavy Oil and Bitumen Reservoirs. Presented at the Canadian Unconventional Resources Conference, Alberta, 15–14 November. SPE-148932-MS. http://dx.doi.org/10.2118/148932-MS.
White, D. 2009.Monitoring CO2 Storage During EOR at the Weyburn-Midale Field. Lead. Edge 28 (7): 838–842. http://dx.doi.org/10.1190/1.3167786.
Wilt, M. and Alumbaugh, D. 2003. Oil Field Reservoir Characterization and Monitoring Using Electromagnetic Geophysical Techniques. J. Pet. Sci. Eng. 39 (1): 85–97. http://dx.doi.org/10.1016/S0920-4105(03)00041-X.
Wilt, M., Alumbaugh, D., Morrison, H. et al. 1995. Crosswell Electromagnetic Tomography: System Design Considerations and Field Results. Geophysics 60 (3): 871–885. http://dx.doi.org/10.1190/1.1443823.
Xia, T., Greaves, M., and Turta, A. 2005. Main Mechanism for Stability of THAI-Toe-to-Heel Air Injection. J Can Pet Technol 44 (1): 42–48. PETSOC-05-01-03. http://dx.doi.org/10.2118/05-01-03.
